A phase field driven by Gaussian process uncertainty dynamically mixes a data-driven surrogate with a high-fidelity elasto-plastic constitutive model, reducing high-fidelity evaluations while preserving accuracy.
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Mixing Data-Driven and Physics-Based Constitutive Models using Uncertainty-Driven Phase Fields
A phase field driven by Gaussian process uncertainty dynamically mixes a data-driven surrogate with a high-fidelity elasto-plastic constitutive model, reducing high-fidelity evaluations while preserving accuracy.